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An Analysis of AI·SW Education Policy Changes Using Berkland's Case-Based Policy Learning Model
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Birkland의 사건 중심 정책학습 모형을 활용한 AI·SW교육 정책변동 분석

논문 기본 정보

Type
Academic journal
Author
Jungmin Lee (한국교육개발원) Jaeyoung Chung (이화여자대학교)
Journal
The Research Institue of Korean Education Korean Education Inquiry Vol.40 No.3 KCI Accredited Journals
Published
2022.9
Pages
121 - 144 (24page)
DOI
10.22327/kei.2022.40.3.121

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An Analysis of AI·SW Education Policy Changes Using Berkland's Case-Based Policy Learning Model
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The development of AI and SW has promoted technical convergence in various fields. As a result, unexpected innovations and transitions are causing changes in the educational field as well as daily life. This study examined the process and policy diffusion mechanisms of the AI and SW education policies, which developed following the focus events of "Deep Mind Challenge Match" and "Enforcement of Online School Opening Due to COVID-19". As a result of the study, "instrumental learning" appeared in “policy change 1st phase” as an attempt to refine past decisions, while "policy change 2nd phase" showed that policies spread due to "social learning" and competitive mechanisms due to environmental changes. Focusing on the results of this study, the importance of policy learning according to the influence of the leading group in the process of policy change and the accumulation of policy knowledge during policy diffusion were discussed. And based on these results, policy implications were presented.

Contents

Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 분석틀
Ⅳ. 연구 결과
Ⅳ. 논의 및 결론
참고문헌
ABSTRACT

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